About Me
My name is Ting Zhang, a.k.a., happygirlzt. I will be joining Monash University, Australia, as a Lecturer (equivalent to an Assistant Professor in the U.S. system) in Software Engineering. I look for self-motivated Ph.D. students to work with me. If you're interested in collaborating or working with me, feel free to reach out.
Currently, I am a research scientist at SMU.
Prior to this, I defended my doctoral dissertation titled "Supporting Software Engineers with Large Language Model-Based Automation" on 13 Dec 2023. I was fortunate to be advised by Prof. David
Lo and Prof. Lingxiao
Jiang.
Academic Qualifications
- Ph.D. in Computer Science
- M.Sc. in Information Systems
- B.Eng. in Computer Science and Technology
Publications
* indicates I am the corresponding author.
Journal Papers
[J4] [TOSEM 2024] Explaining Explanation: An Empirical Study on Explanation in Code Reviews
Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo
[PDF]
[J3] [TOSEM 2024] Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo
[PDF] [Code]
[J2] [TOSEM 2023] Representation Learning for Stack Overflow Posts: How Far are We?
Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ivana Clairine Irsan, Ferdian Thung, David Lo
[PDF] [Code]
[J1] [TOSEM 2023, ASE 2023 Journal First] Duplicate Bug Report Detection: How Far Are We?
Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang
[PDF] [Code]
Conference Papers
[C14] [ICSE 2026] Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
Huiui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine IRSAN, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
[PDF] [Code]
[C13] [ACL 2025 main] TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen
[PDF] [Code]
[C12] [FSE 2025] A Knowledge Enhanced Large Language Model for Bug Localization
Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang
[PDF] [Code]
[C11] [ASE 2024] ChatBR: Automated assessment and improvement of bug report quality using ChatGPT
Lili Bo, Wangjie Ji, Xiaobing Sun, Ting Zhang, Xiaoxue Wu, Ying Wei
[PDF] [Code]
[C10] [FORGE 2024 New Idea] On Evaluating the Efficiency of Source Code Generated by LLMs
Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng
[PDF] [Code]
[C9] [ICSE 2024 NIER] Large Language Model for Vulnerability Detection: Emerging Results and Future Directions
Xin Zhou, Ting Zhang, David Lo
[PDF] [Code]
[C8] [MSR 2023] PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
Ivana Clairine Irsan, Ting Zhang*, Ferdian Thung, Kisub Kim, David Lo
[PDF] [Code]
[C7] [SANER 2023] Multi-Modal API Recommendation
Ivana Clairine Irsan, Ting Zhang*, Ferdian Thung, Kisub Kim, David Lo
[PDF] [Code]
[C6] [FSE 2022 Demo] iTiger: An Automatic Issue Title Generation Tool
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Lingxiao Jiang
[PDF] [Code]
[C5] [FSE 2022 Demo] CodeMatcher: A Tool for Large-Scale Code Search Based on Query Semantics Matching
Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang.
[PDF] [Code]
[C4] [ASE 2022] Summarization for Technical Queries: Benchmark and New Approach
Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
[PDF] [Code]
[C3] [ICSME 2022] Automatic Pull Request Title Generation
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
[PDF] [Code]
[C2] [ICPC 2022] Benchmarking Library Recognition in Tweets
Ting Zhang, Divya Prabha Chandrasekaran, Ferdian Thung, David Lo
[PDF] [Code]
[C1] [ICSME 2020] Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
Ting Zhang, Bowen Xu, Ferdian Thung, Stefanus Agus Haryono, David Lo, Lingxiao Jiang
[PDF] [Code]
Teaching
- I was a teaching assistant for
- IS706: Software Mining and Analysis (2022 Spring, SMU)
- Probability & Mathematical Statistics (2017 Summer, SYSU)
- Discrete Mathematics (2016 Summer, SYSU)
- I occasionally teach algorithms in YouTube, where I proudly have 14k+ subscribers.
- I was a part-time instructor at a software engineering training company, teaching algorithm courses five times from 2021 to 2023. I have helped 30+ students find software developer jobs in the US.
Talks
- 22 Nov 2023, Automatic Program Repair event at National University of Singapore, Repairing API misuse
- 20 Nov 2023, North Carolina State University, Large Langague Models for Sentiment Analysis in Software Engineering
Internship
- Veracode: Repairing API misuse bugs. May - August 2022
Services
- Committee:
PC member @ FSE'26,
PC member @ ICSE'25,
PC Member @ MSR'25 Data and Tool Showcase Track,
PC Member @ ICSME'24 New Ideas and Emerging Results Track,
Publicity Co-chair, PC member @ Forge'24,
PC Member @ ICSME'24 Artifact Evaluation Track and ROSE Festival Track,
PC Member @ ICSME'23 Artifact Evaluation Track and ROSE Festival Track,
Junior PC member @ MSR'23,
Web Co-chair @ MSR'22,
Shadow PC member @ MSR'21
- Journal Reviewer: IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, IEEE Transactions on Reliability, Journal of Systems and Software, Automated Software Engineering, Neurocomputing, Science of Computer Programming
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